Experience:

• 7 - 9 years
• 6–10 years of experience in AI/ML engineering
• At least 2+ years in building agentic AI systems or LLM-based applications

Qualification:

• Bachelor of Engineering
• Bachelor Of Science
• Bachelor Of Computer Applications
• Bachelor Of Technology

Responsibilities:

• Design and implement agentic architectures leveraging LLMs and reasoning engines
• Develop multi-agent systems for task orchestration and collaboration
• Integrate external tools, APIs, and knowledge bases for agent augmentation
• Optimize agent performance for autonomy, adaptability, and safety
• Collaborate with product teams to embed agentic AI into business applications
• Research and prototype advanced capabilities like memory, planning, and self-improvement

Additional responsibilities:

• Strong programming skills in Python
• Deep understanding of LLMs, prompt engineering, and fine-tuning techniques
• Familiarity with agentic frameworks such as LangChain, AutoGen, CrewAI, or similar
• Knowledge of reinforcement learning, reasoning algorithms, and planning systems
• Experience with API integration and tool augmentation for agents
• Strong grasp of ethical AI principles and safety mechanisms

Nice to have:

• Experience with Prompt Engineering
• Experience with LLMOps
• Experience with AgentOps

More skills:

AI/ML frameworks, Fine-tuning techniques, Agentic frameworks (LangChain, AutoGen, CrewAI, or similar), Tool augmentation, Ethical AI principles, Safety mechanisms